{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T17:46:48Z","timestamp":1768412808839,"version":"3.49.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12064008"],"award-info":[{"award-number":["12064008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502127"],"award-info":[{"award-number":["61502127"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Key Science and Technology  Project of Haikou, Haina","award":["2020-14"],"award-info":[{"award-number":["2020-14"]}]},{"name":"the Key Science and Technology  Project of Haikou, Haina","award":["No.2020-44"],"award-info":[{"award-number":["No.2020-44"]}]},{"name":"the Key Science and Technology  Project of Haikou, Haina","award":["2020-053"],"award-info":[{"award-number":["2020-053"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Wireless Com Network"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Dangerous driving, e.g., using mobile phone while driving, can result in serious traffic problem and threaten to safety. To efficiently alleviate such problem, in this paper, we design an intelligent monitoring system to detect the dangerous behavior while driving. The monitoring system is combined by a designed target detection algorithm, camera, terminal server and voice reminder. An efficiently deep learning model, namely Mobilenet combined with single shot multi-box detector (Mobilenet-SSD), was applied to identify the behavior of driver. To evaluate the performance of proposed system, a dangerous driving dataset,consisting of 6796 images, was constructed. The experimental results show that the proposed system can achieve the accuracy of 99%, and could be used for real-time monitoring of the drivers\u2019 status.<\/jats:p>","DOI":"10.1186\/s13638-022-02121-7","type":"journal-article","created":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T12:11:49Z","timestamp":1651752709000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Early warning system for drivers\u2019 phone usage with deep learning network"],"prefix":"10.1186","volume":"2022","author":[{"given":"J. H. Jixu","family":"Hou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofeng","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengjie","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Houqun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongnian","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yizhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,5]]},"reference":[{"issue":"4","key":"2121_CR1","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1016\/S0001-4575(02)00028-3","volume":"35","author":"P Hancock","year":"2003","unstructured":"P. Hancock, M. lesch, L. Simmons, The distraction effects of phone use during a crucial driving maneuver. Accid. Anal. Prev. 35(4), 501\u2013514 (2003)","journal-title":"Accid. Anal. Prev."},{"issue":"021","key":"2121_CR2","first-page":"105","volume":"000","author":"W Li","year":"2012","unstructured":"W. Li, Pay attention to fleet safety management to reduce traffic accidents. Commer. Veh. 000(021), 105\u2013107 (2012)","journal-title":"Commer. Veh."},{"key":"2121_CR3","doi-asserted-by":"publisher","unstructured":"D. Wang, M. Pei, L. Zhu, Detecting driver use of mobile phone based on in-car camera. In: Tenth International Conference on Computational Intelligence and Security (2014), pp. 148\u2013151. https:\/\/doi.org\/10.1109\/CIS.2014.12","DOI":"10.1109\/CIS.2014.12"},{"key":"2121_CR4","doi-asserted-by":"publisher","unstructured":"T. Song, X. Cheng, H. Li, J. Yu, S. Wang, R. Bie, Detecting driver phone calls in a moving vehicle based on voice features. In: IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, (2016), pp. 1\u20139. https:\/\/doi.org\/10.1109\/INFOCOM.2016.7524437","DOI":"10.1109\/INFOCOM.2016.7524437"},{"key":"2121_CR5","doi-asserted-by":"publisher","unstructured":"H. Yasar, Detection of driver\u2019s mobile phone usage. In: IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) (2017), pp. 1\u20134. https:\/\/doi.org\/10.1109\/HNICEM.2017.8269509","DOI":"10.1109\/HNICEM.2017.8269509"},{"key":"2121_CR6","doi-asserted-by":"publisher","unstructured":"R. Berri, F. Os\u00f3rio, A 3D vision system for detecting use of mobile phones while driving. In: International Joint Conference on Neural Networks (IJCNN) (2018), pp. 1\u20138. https:\/\/doi.org\/10.1109\/IJCNN.2018.8489093","DOI":"10.1109\/IJCNN.2018.8489093"},{"key":"2121_CR7","doi-asserted-by":"publisher","unstructured":"Y. Artan, O. Bulan, R.P. Loce, P. Paul, Driver cell phone usage detection from HOV\/HOT NIR images. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (2014), pp. 225\u2013230. https:\/\/doi.org\/10.1109\/CVPRW.2014.42","DOI":"10.1109\/CVPRW.2014.42"},{"key":"2121_CR8","doi-asserted-by":"publisher","unstructured":"K. Seshadri, F. Juefei-Xu, D.K. Pal, M. Savvides, C.P. Thor, Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2015), pp. 35\u201343. https:\/\/doi.org\/10.1109\/CVPRW.2015.7301397","DOI":"10.1109\/CVPRW.2015.7301397"},{"key":"2121_CR9","doi-asserted-by":"publisher","unstructured":"J. -K. Choi, Y. -J. Kwon, K. Kim, J. Jeon, B. Jang, Driver behavior analysis and warning system for digital cockpit based on driving data. In: International Conference on Information and Communication Technology Convergence (ICTC) (2019), pp. 1397\u20131399. https:\/\/doi.org\/10.1109\/ICTC46691.2019.8939875","DOI":"10.1109\/ICTC46691.2019.8939875"},{"key":"2121_CR10","doi-asserted-by":"crossref","unstructured":"W. Liu, D. Anguelov, C. Szegedy, S. Reed, C.-Y. Fu, A.C. Berg, et al., SSD: single shot multibox detector. In: Proceedings of European Conference on Computer Vision (2016), pp. 21\u201337","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"2121_CR11","doi-asserted-by":"crossref","unstructured":"J. Redmon, S. Divvala, A. Farhadi, R. Girshick, You only look once: unified real-time object detection. In: Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (2016), pp. 779\u2013788","DOI":"10.1109\/CVPR.2016.91"},{"issue":"6","key":"2121_CR12","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2015","unstructured":"S. Ren, K. He, R. Girshick, J. Sun, Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2121_CR13","unstructured":"M. Wang, L. Liu, Y. Dong, Research on image neural network detection model based on SSD. J. Tonghua Norm. Univ. (6) (2019)"},{"key":"2121_CR14","doi-asserted-by":"crossref","unstructured":"M. Sandler, A. Howard, M. Zhu, et al., MobileNetV2: inverted residuals and linear bottlenecks. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018), pp. 4510\u20134520","DOI":"10.1109\/CVPR.2018.00474"},{"key":"2121_CR15","doi-asserted-by":"publisher","unstructured":"A. Howard et al., Searching for MobileNetV3. In: IEEE\/CVF International Conference on Computer Vision (ICCV) (2019), pp. 1314\u20131324. https:\/\/doi.org\/10.1109\/ICCV.2019.00140","DOI":"10.1109\/ICCV.2019.00140"},{"key":"2121_CR16","unstructured":"J. Redmon, A. Farhadi, Yolov3: an incremental improvement. arXiv:1804.02767 (2018)"},{"key":"2121_CR17","unstructured":"https:\/\/aistudio.baidu.com [online]"}],"container-title":["EURASIP Journal on Wireless Communications and Networking"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-022-02121-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13638-022-02121-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-022-02121-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T12:20:13Z","timestamp":1651753213000},"score":1,"resource":{"primary":{"URL":"https:\/\/jwcn-eurasipjournals.springeropen.com\/articles\/10.1186\/s13638-022-02121-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,5]]},"references-count":17,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["2121"],"URL":"https:\/\/doi.org\/10.1186\/s13638-022-02121-7","relation":{},"ISSN":["1687-1499"],"issn-type":[{"value":"1687-1499","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,5]]},"assertion":[{"value":"15 September 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"42"}}